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| Criterion |  Operations Change Analysis |  UX Research Usability Testing |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |
|---|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 45-120 min | 1-2 h je Session | Mehrere Wochen | 3-14 Tage |
Participantsdifferent | 2-6 | Based on research question | 2-6 researchers plus sample | 50+ |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Usability Issues, Severity List, Recommendations | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | ValidationUXPrototype | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation |